Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Actcast is a cutting-edge edge-AI IoT platform service that seamlessly connects real-world events and data to the Internet by executing deep learning inference on edge devices, which facilitates immediate sensing, analysis, and assimilation of physical data with online systems while minimizing both data transfer expenses and privacy concerns. By leveraging edge computing, it allows for the execution of deep learning models directly on affordable hardware like Raspberry Pi, transforming raw inputs from sensors and cameras into meaningful, semantic information that can be relayed to web services or applications. The platform is designed to support the deployment, remote management, and monitoring of IoT applications, referred to as "Acts," across a variety of devices, offering developers essential tools such as an SDK and command-line interface for creating, packaging, and deploying applications within Docker containers that analyze input and deliver condensed outputs. Furthermore, Actcast features capabilities for organizing device groups, setting up triggers and webhooks for event notifications, and managing updates and device statuses through a unified dashboard, ensuring a more streamlined and efficient IoT experience. This comprehensive approach not only enhances operational efficiency but also improves the scalability of IoT solutions.
Description
Node-RED is a versatile programming tool designed for connecting various hardware devices, APIs, and online services in innovative ways. Featuring a user-friendly, browser-based editor, it allows users to easily create flows by utilizing a diverse array of nodes available in its palette, which can be deployed to its runtime with just a single click. The platform supports the creation of JavaScript functions directly within the editor, enhanced by a rich text editor for ease of use. Additionally, a built-in library is available for users to save and reuse useful functions, templates, or flows, streamlining the development process. Built on Node.js, Node-RED leverages its lightweight runtime architecture, capitalizing on an event-driven and non-blocking model that makes it exceptionally suited for deployment on low-cost devices like the Raspberry Pi, as well as in cloud environments. This flexibility ensures that developers can operate efficiently regardless of the hardware they choose to use.
API Access
Has API
API Access
Has API
Integrations
ActiveControl
CrateDB
Domotz
Epicor Connected Process Control
FairCom DB
FairCom EDGE
Raspberry Pi OS
Slack
Stackreaction
UBOS
Integrations
ActiveControl
CrateDB
Domotz
Epicor Connected Process Control
FairCom DB
FairCom EDGE
Raspberry Pi OS
Slack
Stackreaction
UBOS
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Actcast
Founded
2018
Country
United States
Website
actcast.io
Vendor Details
Company Name
Node-RED
Founded
2013
Website
nodered.org
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
Product Features
Industrial IoT
Condition Monitoring
Data Visualization
Factory Data Analytics
Machine Learning
Machine Workflow Creation
Predictive Maintenance
Production Line / Factory Insights
Real-Time Monitoring
Reporting / Analytics
Smart Alerts / Notifications
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization